2017
DOI: 10.1186/s13007-017-0164-8
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Development of an efficient glucosinolate extraction method

Abstract: BackgroundGlucosinolates, anionic sulfur rich secondary metabolites, have been extensively studied because of their occurrence in the agriculturally important brassicaceae and their impact on human and animal health. There is also increasing interest in the biofumigant properties of toxic glucosinolate hydrolysis products as a method to control agricultural pests. Evaluating biofumigation potential requires rapid and accurate quantification of glucosinolates, but current commonly used methods of extraction pri… Show more

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Cited by 85 publications
(68 citation statements)
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“…Development of more efficient MS and LC techniques enables to run hundreds of metabolomic analyses in reasonable time. It is especially important for specialized metabolites analysis like glucosinolates, due to laborious sample preparation and complexity of plant extract [59]. The increasing sensitivity of MS devices influenced significantly the number of detected signals during each chromatographic run of studied samples and thus multiplied the size of obtained data files.…”
Section: Bioinformatics and Statistical Analysis In Metabolomicsmentioning
confidence: 99%
“…Development of more efficient MS and LC techniques enables to run hundreds of metabolomic analyses in reasonable time. It is especially important for specialized metabolites analysis like glucosinolates, due to laborious sample preparation and complexity of plant extract [59]. The increasing sensitivity of MS devices influenced significantly the number of detected signals during each chromatographic run of studied samples and thus multiplied the size of obtained data files.…”
Section: Bioinformatics and Statistical Analysis In Metabolomicsmentioning
confidence: 99%
“…Moreover, 3D models have the potential to assist growers to continuously monitor and quantify plant growth and development, as well as plant responses to environmental stresses. A stereo-imaging based 3D reconstruction system was established to capture rape seedling leaf area and plant height (Xiong et al, 2017 ); two identical RGB cameras were utilized as an imaging unit. The mean error for leaf area and plant height measurements was 3.68 and 6.18%, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…(2011) [32] and Doheny-Adams et al . (2017) [33]. Briefly, into each test tube, 5 ml of 80% v/v methanol: water (buffered with 1% v/v formic acid) at room temperature (≈20 o C) was added to 100 mg (dry weight) of powdered sample.…”
Section: Methodsmentioning
confidence: 99%